What Is a Model?

A model is a system that learns patterns from data and uses them to produce an output. In this lesson we break down how a model learns through training, what model weights and parameters really are, and why actually running the model is harder than it sounds. 🖊️ Learning objectives: - What a model is and how it learns patterns - What model weights and parameters represent - Why inference, not training, is the hard part Training produces billions of learned numbers. Inference is the challenge of running those numbers across many chips and getting the right data to the right place at the right time. That timing is what makes an answer feel instant. For more resources, you may check out our blog here, where you will find information on: - What is AI inference? Meaning, benefits and how it works - AI is no longer about training bigger models, it's about inference at scale #AI #LLM #Inference #MachineLearning #SambaNova